Only our W2.
AWS DevOps Engineer
Location: Grand Rapids, Michigan. - NEED LOCALS
***Position is on-site (Monday-Thursday) ***
We are seeking an experienced Senior DevOps Engineer to design, implement, and maintain scalable, reliable, and secure cloud infrastructure solutions. The ideal candidate is proactive, detail-oriented, and highly skilled in Kubernetes, AWS, Infrastructure as Code, and modern CI/CD practices.
This role will partner closely with development, quality assurance, product, and infrastructure teams to improve deployment processes, system reliability, operational efficiency, and overall platform performance.
Key Responsibilities:
Kubernetes and Container Orchestration
- Design, deploy, manage, and optimize Kubernetes clusters supporting scalable and highly available workloads.
- Implement container orchestration standards, security controls, resource management, and deployment best practices.
- Integrate Kubernetes environments with automated build, testing, and deployment pipelines.
- Troubleshoot cluster, application, networking, and performance-related issues.
AWS Cloud Infrastructure
- Architect, implement, and manage cloud infrastructure using AWS services, including EC2, S3, VPC, RDS, Lambda, IAM, CloudWatch, and related technologies.
- Design cloud-native solutions focused on scalability, availability, security, cost efficiency, and operational resilience.
- Use AWS CDK and Terraform to automate infrastructure provisioning and configuration.
- Maintain consistent infrastructure standards across development, testing, and production environments.
CI/CD and Automation
- Develop and maintain CI/CD pipelines using AWS CodePipeline, Jenkins, or similar tools.
- Automate build, testing, deployment, and infrastructure management processes.
- Monitor and troubleshoot pipeline failures, performance issues, and deployment risks.
- Develop automation and operational tooling using Python, Bash, or similar scripting languages.
Monitoring, Reliability, and Optimization
- Implement and maintain monitoring, alerting, logging, and incident-management solutions using Prometheus, Grafana, Dynatrace, CloudWatch, or similar platforms.
- Improve system performance, scalability, availability, and fault tolerance.
- Participate in incident response, root-cause analysis, and the implementation of preventive actions.
- Identify opportunities to improve infrastructure costs, operational processes, and system reliability.
AI-Enabled Engineering
- Use Claude and other approved AI tools to accelerate troubleshooting, scripting, documentation, infrastructure design, and operational analysis.
- Apply AI responsibly to enhance technical capabilities, improve delivery efficiency, and increase the quality and consistency of engineering work.
Required Skills and Experience:
- Strong hands-on experience with Kubernetes administration, deployment, and container orchestration.
- In-depth knowledge of AWS services, cloud infrastructure, and cloud-native architecture.
- Experience with Infrastructure as Code using AWS CDK and Terraform.
- Strong experience developing and maintaining CI/CD pipelines using AWS CodePipeline, Jenkins, or comparable platforms.
- Working knowledge of Apache Kafka or similar distributed messaging technologies.
- Experience with monitoring and observability tools such as Prometheus, Grafana, Dynatrace, or CloudWatch.
- Proficiency in scripting and automation using Python, Bash, or similar languages.
- Strong understanding of Git workflows, branching strategies, and version-control practices.
- Knowledge of cloud security, networking, identity and access management, and infrastructure reliability principles.
- Strong troubleshooting, communication, collaboration, and problem-solving skills.
Preferred Qualifications:
- AWS, Kubernetes, or DevOps-related certifications.
- Experience supporting enterprise-scale, highly available production environments.
- Familiarity with GitOps, Helm, service mesh technologies, and container security.
- Experience with incident management, disaster recovery, and business continuity practices.
- Demonstrated ability to evaluate and adopt emerging technologies, including AI-assisted engineering tools.
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